Abstract
The use of nanorobots in medical applications, specifically cancer treatment, is a serious alternative to prevent this disease. Locating chemical sources and tracking them over time, are tasks where nanorobotics is an ideal candidate to accomplish them. We present a multiagent simulation of three bio-inspired strategies to find targets in fluid environments; including diverse conditions for example: noisy sensors, interference between agents and obstacles generated by the environment itself. Besides, we present a comparative analysis among the three strategies. The results show that nanorobotics used in cancer therapy needs to explore an extensive range of blind searching techniques without communication.
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Piña-García, C.A., Rechy-Ramírez, EJ., García-Vega, V.A. (2008). Comparing Three Simulated Strategies for Cancer Monitoring with Nanorobots. In: Gelbukh, A., Morales, E.F. (eds) MICAI 2008: Advances in Artificial Intelligence. MICAI 2008. Lecture Notes in Computer Science(), vol 5317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88636-5_96
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DOI: https://doi.org/10.1007/978-3-540-88636-5_96
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